MINISTRY OF EDUCATION AND TRAINING
HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY AND EDUCATION
FACULTY FOR HIGH QUALITY TRAINING

GRADUATION PROJECT
COMPUTER ENGINEERING TECHNOLOGY

TWO-LAYER SECURITY SYSTEM USING FACE
RECOGNITION AND TIME ATTENDANCE INTEGRATION

LECTURER: PHAM VAN KHOA
STUDENT: DO MINH QUAN
NGUYEN TRAN DUY KHANH

SKL012539

Ho Chi Minh City, January 2024

HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY AND EDUCATION
FACULTY OF INTERNATIONAL EDUCATION

GRADUATION PROJECT

TWO-LAYER SECURITY SYSTEM
USING FACE RECOGNITION AND
TIME ATTENDANCE INTEGRATION
DO MINH QUAN
Student’s ID: 19119043
NGUYEN TRAN DUY KHANH
Student’s ID: 19119063
Major: COMPUTER ENGINEERING TECHNOLOGY
Supervisor: PHAM VAN KHOA, Ph.D

Ho Chi Minh City, January 2024

THE SOCIALIST REPUBLIC OF VIETNAM
Independence - Freedom - Happiness
-Ho Chi Minh City, January 6th, 2024

PROJECT ASSIGNMENT
Student name: DO MINH QUAN

Student ID: 19119043

Student name: NGUYEN TRAN DUY KHANH

Student ID: 19119063

Major: COMPUTER ENGINEERING TECHNOLOGY

Class: 19119CLA1

Supervisor: PHAM VAN KHOA, Ph.D

Phone number:

Date of assignment: September 3rd, 2023

Date of submission: January 6th, 2024

1. Project title: TWO-LAYER SECURITY SYSTEM USING FACE RECOGNITION AND
TIME ATTENDANCE INTEGRATION
2. Initial materials provided by the advisor: Documents such as papers about facial features
extraction model - ArcFace.
3. Content of the project:
 Analyze the challenge of the project, confirm the problem statement.
 Learn about technical specifications, guiding through and theoretical basis of the components
of hardware.
 Choosing model and summarizing the overall system. Design block diagram, flowchart, table
of routing.
 Pre-processing data (clean, resize data, design schema for database)
 System configuration and design hardware
 Test run, check, debug, evaluate and adjust code.
 Conduct report writing.
4. Final product: A check-in check-out model that read RFID, extracts face’s data vector, a web
application, a final report, a demo video.
CHAIR OF THE PROGRAM
(Sign with full name)

SUPERVISOR
(Sign with full name)

i

THE SOCIALIST REPUBLIC OF VIETNAM
Independence - Freedom - Happiness


EVALUATION SHEET OF SUPERVISOR
Student name: DO MINH QUAN

Student ID: 19119043

Student name: NGUYEN TRAN DUY KHANH

Student ID: 19119063

Major: COMPUTER ENGINEERING TECHNOLOGY
Project title: TWO-LAYER SECURITY SYSTEM USING FACE RECOGNITION AND TIME
ATTENDANCE INTEGRATION
...

...
ly enhance facial feature extraction, minimizing the impact of
environmental factors.
In addition to researching model improvements for recognition and differentiation of
faces, it’s essential to explore and implement facial scanning and data collection from
various angles into the system. This facilitates user convenience and enhances the system’s
user-friendliness. This research relates to studying the workflow of the control program,
defining face differentiation standards to ensure the system’s efficiency and reliability.

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REFERENCES
[1]

P. Porter, S. Yang and X. Xi, The Design and Implementation of a RESTful IoT
Service Using the MERN Stack, 2019 IEEE 16th International Conference on Mobile
Ad Hoc and Sensor Systems Workshops (MASSW), Monterey, CA, USA, 2019, pp.
140-145, doi: 10.1109/MASSW.2019.00035.

[2]

Anjali Chauhan, A Review on Various Aspects of MongoDb Databases, May 2019,
ISSN: 2278-0181 Vol. 8 Issue 05.

[3]

StrongLoop, IBM, and other expressjs.com contributors, Express documentation.

[4]

Alok Kumar Srivastava , Vaishnavi Laxmi , Payal Singh , Km Pratima , Vibha Kirti,
React JS (Open Source Java Library), Feburary 2022, ISSN: 2349-6002 Vol. 8
Issue 9.

[5]

X. Huang, Research and Application of Node.js Core Technology, 2020 International
Conference on Intelligent Computing and Human-Computer Interaction (ICHCI),
Sanya, China, 2020, pp. 1-4, doi: 10.1109/ICHCI51889.2020.00008.

[6]

A. Firmansyah, T. F. Kusumasari and E. N. Alam, Comparison of Face Recognition
Accuracy of ArcFace, Facenet and Facenet512 Models on Deepface Framework,
2023 International Conference on Computer Science, Information Technology and
Engineering (ICCoSITE), Jakarta, Indonesia, 2023, pp. 535-539,
doi: 10.1109/ICCoSITE57641.2023.10127799.

[7]

J. Deng, J. Guo, J. Yang, N. Xue, I. Kotsia and S. Zafeiriou, ArcFace: Additive
Angular Margin Loss for Deep Face Recognition, IEEE Transactions on Pattern
Analysis and Machine Intelligence, Octorber 2022, Vol. 44, no. 10, pp. 5962-5979,
doi: 10.1109/TPAMI.2021.3087709.

[8]

M. Sandler, A. Howard, M. Zhu, A. Zhmoginov &amp L-C, Chen, MobileNetV2: Inverted
residuals and linear bottlenecks, March 2019, https://arxiv.org/abs/1801.04381.

[9]

peteryuX, arcface-tf2, https://github.com/peteryuX/arcface-tf2.

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APPENDICES
Codes of Website and API:
https://github.com/foxxy219/CP_Project
Codes of Control Programes of Hardware:
https://github.com/duykhanh2k1321/CP

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